LavaCvxr: Lava Estimation for the Sum of Sparse and Dense Signals(3 Methods)

The lava estimation is used to recover signals that is the sum of a sparse signal and a dense signal. The post-lava method corrects the shrinkage bias of lava. For more information on the lava estimation, see Chernozhukov, Hansen, and Liao (2017) <doi:10.1214/16-AOS1434>.

Getting started

Package details

AuthorVictor Chernozhukov [aut, cre], Christian Hansen [aut, cre], Yuan Liao [aut, cre], Jaeheon Jung [ctb, cre], Yang Liu [ctb, cre]
MaintainerYang Liu <yl1241@economics.rutgers.edu>
LicenseGPL-2
Version1.0.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("LavaCvxr")

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LavaCvxr documentation built on June 4, 2021, 9:06 a.m.